This open-access book serves as a comprehensive guide for C++ programmers looking to master Threading Building Blocks (TBB). Authored by two experts in TBB and parallel programming, the book distills decades of collec...
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ISBN:
(数字)9798868812705
ISBN:
(纸本)9798868812699
This open-access book serves as a comprehensive guide for C++ programmers looking to master Threading Building Blocks (TBB). Authored by two experts in TBB and parallel programming, the book distills decades of collective experience in developing and teaching parallel programming concepts, presenting insights in a clear and accessible manner.
Today’s TBB
starts with foundational principles, explaining key concepts and terminology used in parallel programming. It then introduces the major components of TBB including parallel algorithms, flow graphs, and task groups that help you fully leverage the power of multicore systems. The book emphasizes TBB's higher-level parallelism capabilities, which facilitate the creation of portable, scalable applications for modern CPUs. Key topics, including memory management in parallel contexts and effective synchronization for data structures, are well explored, ensuring a comprehensive understanding of these critical concepts.
Later chapters delve into advanced topics including cancellation, exception handling, composability, performance tuning, and transitioning legacy code from older versions of TBB to Today’s TBB.
For nearly two decades, TBB has been invaluable to programmers, and this book leverages the latest advancements in C++ alongside TBB to enhance your parallel programming capabilities.
TBB excels in unlocking the performance of code that is not well-suited for accelerators, making it an essential tool in the realm of parallel computing. If you work with technologies like CUDA, SYCL, or OpenCL for accelerated computing, mastering TBB will also enable you to orchestrate parallelism effectively on the host CPU, optimizing performance in the face of Amdahl’s Law.
What You'll Learn
Create Scalable Code
: Use TBB for portable, simple, and efficient programming.
Parallelization Strategies
: Implement best practices for intensive tasks.
High-Performance Applications
: Develop scalable parallel programs.
Modern C++ Compatibilit
This book constitutes the thoroughly refereed proceedings of the 21st International Symposium on Logic-Based Program Synthesis and Transformation, LOPSTR 2011, held in Odense, Denmark in July 2011. The 6 revised full ...
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ISBN:
(数字)9783642322112
ISBN:
(纸本)9783642322105
This book constitutes the thoroughly refereed proceedings of the 21st International Symposium on Logic-Based Program Synthesis and Transformation, LOPSTR 2011, held in Odense, Denmark in July 2011. The 6 revised full papers presented together with 8 additional papers were carefully reviewed and selected from 28 submissions. Among the topics covered are specification, synthesis, verification, analysis, optimization, specialization, security, certification, applications and tools, program/model manipulation, and transformation techniques for any programming language paradigm.
This volume contains the papers presented at the 21st International Conf- ence on Algorithmic Learning Theory (ALT 2010), which was held in Canberra, Australia, October 6–8, 2010. The conference was co-located with t...
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ISBN:
(数字)9783642161087
ISBN:
(纸本)9783642161070
This volume contains the papers presented at the 21st International Conf- ence on Algorithmic Learning Theory (ALT 2010), which was held in Canberra, Australia, October 6–8, 2010. The conference was co-located with the 13th - ternational Conference on Discovery Science (DS 2010) and with the Machine Learning Summer School, which was held just before ALT 2010. The tech- cal program of ALT 2010, contained 26 papers selected from 44 submissions and ?ve invited talks. The invited talks were presented in joint sessions of both conferences. ALT 2010 was dedicated to the theoretical foundations of machine learning and took place on the campus of the Australian National University, Canberra, Australia. ALT provides a forum for high-quality talks with a strong theore- cal background and scienti?c interchange in areas such as inductive inference, universal prediction, teaching models, grammatical inference, formal languages, inductive logic programming, query learning, complexity of learning, on-line learning and relative loss bounds, semi-supervised and unsupervised learning, clustering,activelearning,statisticallearning,supportvectormachines,Vapnik- Chervonenkisdimension,probablyapproximatelycorrectlearning,Bayesianand causal networks, boosting and bagging, information-based methods, minimum descriptionlength,Kolmogorovcomplexity,kernels,graphlearning,decisiontree methods, Markov decision processes, reinforcement learning, and real-world - plications of algorithmic learning theory. DS 2010 was the 13th International Conference on Discovery Science and focused on the development and analysis of methods for intelligent data an- ysis, knowledge discovery and machine learning, as well as their application to scienti?c knowledge discovery. As is the tradition, it wasco-located and held in parallel with Algorithmic Learning Theory.
This book is a comprehensive guide to machine learning with worked examples in MATLAB. It starts with an overview of the history of Artificial Intelligence and automatic control and how the field of machine learn...
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ISBN:
(数字)9781484222508
This book is a comprehensive guide to machine learning with worked examples in MATLAB. It starts with an overview of the history of Artificial Intelligence and automatic control and how the field of machine learning grew from these. It provides descriptions of all major areas in machine learning.;The book reviews commercially available packages for machine learning and shows how they fit into the field. The book then shows how MATLAB can be used to solve machine learning problems and how MATLAB graphics can enhance the programmer’s understanding of the results and help users of their software grasp the results.;Machine Learning can be very mathematical. The mathematics for each area is introduced in a clear and concise form so that even casual readers can understand the math. Readers from all areas of engineering will see connections to what they know and will learn new technology.;The book then providescomplete solutions in MATLAB for several important problems in machine learning including face identification, autonomous driving, and data classification. Full source code is provided for all of the examples and applications in the book.;The primary audiences are engineers and engineering students wanting a comprehensive and practical introduction to machine learning.
This book constitutes the refereed proceedings of the Third European Conference on the Parallel Virtual Machine, EuroPVM '96, the 1996 European PVM users' group meeting, held in Munich, Germany, in October 199...
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ISBN:
(数字)9783540707417
ISBN:
(纸本)9783540617792
This book constitutes the refereed proceedings of the Third European Conference on the Parallel Virtual Machine, EuroPVM '96, the 1996 European PVM users' group meeting, held in Munich, Germany, in October 1996.;The parallel virtual machine, PVM, was developed at the University of Tennessee and Oak Ridge National Laboratory in cooperation with Emory University and Carnegie Mellon University to support distributed computing. This volume comprises 51 revised full contributions devoted to PVM. The papers are organized in topical sections on evaluation of PVM; Applications: CFD solvers; tools for PVM; non-numerical applications; extensions to PVM; etc.
This book constitutes the thoroughly refereed post-conference proceedings of the Second IFIP TC 2 Central and East-European Conference on Software Engineering techniques, CEE-SET 2008, held in Brno, Czech Republic, in...
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ISBN:
(数字)9783642223860
ISBN:
(纸本)9783642223853
This book constitutes the thoroughly refereed post-conference proceedings of the Second IFIP TC 2 Central and East-European Conference on Software Engineering techniques, CEE-SET 2008, held in Brno, Czech Republic, in October 2008. The 20 revised full papers presented together with a keynote speech were carefully reviewed and selected from 69 initial submissions. The papers are organized in topical sections on requirements specification, design, modeling, software product lines, code generation, project management, and quality.
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